Pandas Profiling Report

Dataset statistics

Number of variables	27
Number of observations	50
Missing cells	342
Missing cells (%)	25.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	10.7 KiB
Average record size in memory	218.6 B

Variable types

Numeric	15
Categorical	10
Unsupported	2

Alerts

`Pos.` is highly correlated with `Seasons` and 15 other fields	High correlation
`Seasons` is highly correlated with `Pos.` and 15 other fields	High correlation
`Pld` is highly correlated with `Pos.` and 15 other fields	High correlation
`W` is highly correlated with `Pos.` and 15 other fields	High correlation
`D` is highly correlated with `Pos.` and 13 other fields	High correlation
`L` is highly correlated with `Pos.` and 11 other fields	High correlation
`GF` is highly correlated with `Pos.` and 15 other fields	High correlation
`GA` is highly correlated with `Pos.` and 12 other fields	High correlation
`1st` is highly correlated with `Pos.` and 13 other fields	High correlation
`2nd` is highly correlated with `Pos.` and 13 other fields	High correlation
`3rd` is highly correlated with `Pos.` and 17 other fields	High correlation
`4th` is highly correlated with `3rd` and 5 other fields	High correlation
`5th` is highly correlated with `1st` and 1 other fields	High correlation
`6th` is highly correlated with `D` and 3 other fields	High correlation
`7th` is highly correlated with `1st` and 2 other fields	High correlation
`T4` is highly correlated with `Pos.` and 13 other fields	High correlation
`T7` is highly correlated with `Pos.` and 15 other fields	High correlation
`Relegated` is highly correlated with `1st` and 3 other fields	High correlation
`Best` is highly correlated with `Pos.` and 15 other fields	High correlation
`WP` is highly correlated with `Pos.` and 16 other fields	High correlation
`predWP` is highly correlated with `Pos.` and 16 other fields	High correlation
`factor` is highly correlated with `Pos.` and 13 other fields	High correlation
`Pos.` is highly correlated with `Seasons` and 16 other fields	High correlation
`Seasons` is highly correlated with `Pos.` and 14 other fields	High correlation
`Pld` is highly correlated with `Pos.` and 14 other fields	High correlation
`W` is highly correlated with `Pos.` and 15 other fields	High correlation
`D` is highly correlated with `Pos.` and 12 other fields	High correlation
`L` is highly correlated with `Pos.` and 11 other fields	High correlation
`GF` is highly correlated with `Pos.` and 16 other fields	High correlation
`GA` is highly correlated with `Pos.` and 11 other fields	High correlation
`1st` is highly correlated with `Pos.` and 11 other fields	High correlation
`2nd` is highly correlated with `Pos.` and 13 other fields	High correlation
`3rd` is highly correlated with `Pos.` and 15 other fields	High correlation
`4th` is highly correlated with `Pos.` and 8 other fields	High correlation
`5th` is highly correlated with `1st`	High correlation
`6th` is highly correlated with `3rd`	High correlation
`7th` is highly correlated with `1st` and 1 other fields	High correlation
`T4` is highly correlated with `Pos.` and 12 other fields	High correlation
`T7` is highly correlated with `Pos.` and 15 other fields	High correlation
`Relegated` is highly correlated with `2nd` and 1 other fields	High correlation
`Best` is highly correlated with `Pos.` and 13 other fields	High correlation
`WP` is highly correlated with `Pos.` and 14 other fields	High correlation
`predWP` is highly correlated with `Pos.` and 16 other fields	High correlation
`factor` is highly correlated with `Pos.` and 10 other fields	High correlation
`Pos.` is highly correlated with `Seasons` and 14 other fields	High correlation
`Seasons` is highly correlated with `Pos.` and 12 other fields	High correlation
`Pld` is highly correlated with `Pos.` and 12 other fields	High correlation
`W` is highly correlated with `Pos.` and 14 other fields	High correlation
`D` is highly correlated with `Pos.` and 11 other fields	High correlation
`L` is highly correlated with `Pos.` and 8 other fields	High correlation
`GF` is highly correlated with `Pos.` and 13 other fields	High correlation
`GA` is highly correlated with `Pos.` and 10 other fields	High correlation
`1st` is highly correlated with `Pos.` and 7 other fields	High correlation
`2nd` is highly correlated with `Pos.` and 9 other fields	High correlation
`3rd` is highly correlated with `Pos.` and 13 other fields	High correlation
`4th` is highly correlated with `3rd` and 1 other fields	High correlation
`5th` is highly correlated with `1st`	High correlation
`7th` is highly correlated with `1st`	High correlation
`T4` is highly correlated with `Pos.` and 11 other fields	High correlation
`T7` is highly correlated with `Pos.` and 13 other fields	High correlation
`Relegated` is highly correlated with `2nd` and 1 other fields	High correlation
`Best` is highly correlated with `Pos.` and 13 other fields	High correlation
`WP` is highly correlated with `Pos.` and 13 other fields	High correlation
`predWP` is highly correlated with `Pos.` and 14 other fields	High correlation
`factor` is highly correlated with `3rd` and 2 other fields	High correlation
`1st` is highly correlated with `6th` and 4 other fields	High correlation
`3rd` is highly correlated with `Relegated` and 2 other fields	High correlation
`Relegated` is highly correlated with `3rd` and 1 other fields	High correlation
`6th` is highly correlated with `1st` and 2 other fields	High correlation
`Debut` is highly correlated with `Club`	High correlation
`Since/Last App.` is highly correlated with `1st` and 4 other fields	High correlation
`Club` is highly correlated with `1st` and 8 other fields	High correlation
`4th` is highly correlated with `Since/Last App.` and 3 other fields	High correlation
`7th` is highly correlated with `1st` and 2 other fields	High correlation
`5th` is highly correlated with `1st` and 2 other fields	High correlation
`Pos.` is highly correlated with `Club` and 14 other fields	High correlation
`Club` is highly correlated with `Pos.` and 23 other fields	High correlation
`Seasons` is highly correlated with `Pos.` and 12 other fields	High correlation
`Pld` is highly correlated with `Pos.` and 12 other fields	High correlation
`W` is highly correlated with `Pos.` and 14 other fields	High correlation
`D` is highly correlated with `Pos.` and 13 other fields	High correlation
`L` is highly correlated with `Pos.` and 16 other fields	High correlation
`GF` is highly correlated with `Pos.` and 13 other fields	High correlation
`GA` is highly correlated with `Pos.` and 13 other fields	High correlation
`1st` is highly correlated with `Club` and 8 other fields	High correlation
`2nd` is highly correlated with `Club` and 13 other fields	High correlation
`3rd` is highly correlated with `Club` and 15 other fields	High correlation
`4th` is highly correlated with `Pos.` and 12 other fields	High correlation
`5th` is highly correlated with `Club` and 10 other fields	High correlation
`6th` is highly correlated with `Club` and 4 other fields	High correlation
`7th` is highly correlated with `Club` and 6 other fields	High correlation
`T4` is highly correlated with `Club` and 9 other fields	High correlation
`T7` is highly correlated with `Pos.` and 13 other fields	High correlation
`Debut` is highly correlated with `Pos.` and 5 other fields	High correlation
`Since/Last App.` is highly correlated with `Club` and 17 other fields	High correlation
`Relegated` is highly correlated with `Club` and 7 other fields	High correlation
`Best` is highly correlated with `Pos.` and 9 other fields	High correlation
`WP` is highly correlated with `Pos.` and 18 other fields	High correlation
`predWP` is highly correlated with `Pos.` and 15 other fields	High correlation
`factor` is highly correlated with `Pos.` and 6 other fields	High correlation
`1st` has 43 (86.0%) missing values	Missing
`2nd` has 41 (82.0%) missing values	Missing
`3rd` has 40 (80.0%) missing values	Missing
`4th` has 39 (78.0%) missing values	Missing
`5th` has 36 (72.0%) missing values	Missing
`6th` has 37 (74.0%) missing values	Missing
`7th` has 33 (66.0%) missing values	Missing
`T4` has 36 (72.0%) missing values	Missing
`T7` has 23 (46.0%) missing values	Missing
`Debut` has 1 (2.0%) missing values	Missing
`Since/Last App.` has 1 (2.0%) missing values	Missing
`Relegated` has 8 (16.0%) missing values	Missing
`Best` has 1 (2.0%) missing values	Missing
`WP` has 1 (2.0%) missing values	Missing
`predWP` has 1 (2.0%) missing values	Missing
`factor` has 1 (2.0%) missing values	Missing
`Pos.` is uniformly distributed	Uniform
`Club` is uniformly distributed	Uniform
`Pos.` has unique values	Unique
`Club` has unique values	Unique
`GF` has unique values	Unique
`GA` has unique values	Unique
`GD` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Pts` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Seasons` has 1 (2.0%) zeros	Zeros
`Pld` has 1 (2.0%) zeros	Zeros
`W` has 1 (2.0%) zeros	Zeros
`D` has 1 (2.0%) zeros	Zeros
`L` has 1 (2.0%) zeros	Zeros
`GF` has 1 (2.0%) zeros	Zeros
`GA` has 1 (2.0%) zeros	Zeros

Reproduction

Analysis started	2022-05-09 21:59:02.687169
Analysis finished	2022-05-09 21:59:36.693887
Duration	34.01 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

Pos.
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	50
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25.5

Minimum	1
Maximum	50
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	1
5-th percentile	3.45
Q1	13.25
median	25.5
Q3	37.75
95-th percentile	47.55
Maximum	50
Range	49
Interquartile range (IQR)	24.5

Descriptive statistics

Standard deviation	14.57737974
Coefficient of variation (CV)	0.5716619505
Kurtosis	-1.2
Mean	25.5
Median Absolute Deviation (MAD)	12.5
Skewness	0
Sum	1275
Variance	212.5
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	2.0%
38	1	2.0%
28	1	2.0%
29	1	2.0%
30	1	2.0%
31	1	2.0%
32	1	2.0%
33	1	2.0%
34	1	2.0%
35	1	2.0%
Other values (40)	40	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	2.0%
2	1	2.0%
3	1	2.0%
4	1	2.0%
5	1	2.0%
6	1	2.0%
7	1	2.0%
8	1	2.0%
9	1	2.0%
10	1	2.0%

Value	Count	Frequency (%)
50	1	2.0%
49	1	2.0%
48	1	2.0%
47	1	2.0%
46	1	2.0%
45	1	2.0%
44	1	2.0%
43	1	2.0%
42	1	2.0%
41	1	2.0%

Club
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	50
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	528.0 B

Manchester United	1
Bournemouth	1
Swansea City	1
Queens Park Rangers	1
Birmingham City	1
Other values (45)	45

Length

Max length	23
Median length	17
Mean length	12.88
Min length	6

Characters and Unicode

Total characters	644
Distinct characters	46
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	50 ?
Unique (%)	100.0%

Sample

1st row	Manchester United
2nd row	Arsenal
3rd row	Chelsea
4th row	Liverpool
5th row	Tottenham Hotspur

Common Values

Value	Count	Frequency (%)
Manchester United	1	2.0%
Bournemouth	1	2.0%
Swansea City	1	2.0%
Queens Park Rangers	1	2.0%
Birmingham City	1	2.0%
Wolverhampton Wanderers	1	2.0%
Portsmouth	1	2.0%
Burnley	1	2.0%
Derby County	1	2.0%
Watford	1	2.0%
Other values (40)	40	80.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
city	10	11.4%
united	5	5.7%
athletic	3	3.4%
town	3	3.4%
manchester	2	2.3%
west	2	2.3%
albion	2	2.3%
wanderers	2	2.3%
sheffield	2	2.3%
tottenham	1	1.1%
Other values (56)	56	63.6%

Most occurring characters

Value	Count	Frequency (%)
e	59	9.2%
t	50	7.8%
n	43	6.7%
o	40	6.2%
i	39	6.1%
	38	5.9%
r	38	5.9%
a	34	5.3%
l	31	4.8%
d	28	4.3%
Other values (36)	244	37.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	516	80.1%
Uppercase Letter	87	13.5%
Space Separator	38	5.9%
Other Punctuation	1	0.2%
Open Punctuation	1	0.2%
Close Punctuation	1	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	59	11.4%
t	50	9.7%
n	43	8.3%
o	40	7.8%
i	39	7.6%
r	38	7.4%
a	34	6.6%
l	31	6.0%
d	28	5.4%
s	25	4.8%
Other values (12)	129	25.0%

Uppercase Letter

Value	Count	Frequency (%)
C	16	18.4%
B	11	12.6%
W	9	10.3%
S	7	8.0%
A	7	8.0%
H	5	5.7%
U	5	5.7%
T	4	4.6%
L	3	3.4%
N	3	3.4%
Other values (10)	17	19.5%

Space Separator

Value	Count	Frequency (%)
	38	100.0%

Other Punctuation

Value	Count	Frequency (%)
&	1	100.0%

Open Punctuation

Value	Count	Frequency (%)
[	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	603	93.6%
Common	41	6.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	59	9.8%
t	50	8.3%
n	43	7.1%
o	40	6.6%
i	39	6.5%
r	38	6.3%
a	34	5.6%
l	31	5.1%
d	28	4.6%
s	25	4.1%
Other values (32)	216	35.8%

Common

Value	Count	Frequency (%)
	38	92.7%
&	1	2.4%
[	1	2.4%
]	1	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	644	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	59	9.2%
t	50	7.8%
n	43	6.7%
o	40	6.2%
i	39	6.1%
	38	5.9%
r	38	5.9%
a	34	5.3%
l	31	4.8%
d	28	4.3%
Other values (36)	244	37.9%

Seasons
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	20
Distinct (%)	40.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.72

Minimum	0
Maximum	29
Zeros	1
Zeros (%)	2.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	0
5-th percentile	1
Q1	5
median	8
Q3	15.75
95-th percentile	29
Maximum	29
Range	29
Interquartile range (IQR)	10.75

Descriptive statistics

Standard deviation	9.258289171
Coefficient of variation (CV)	0.7899564139
Kurtosis	-0.6686494116
Mean	11.72
Median Absolute Deviation (MAD)	5
Skewness	0.7979924642
Sum	586
Variance	85.71591837
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
7	8	16.0%
29	6	12.0%
5	5	10.0%
8	4	8.0%
2	4	8.0%
1	3	6.0%
13	3	6.0%
15	3	6.0%
26	2	4.0%
9	2	4.0%
Other values (10)	10	20.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	2.0%
1	3	6.0%
2	4	8.0%
3	1	2.0%
4	1	2.0%
5	5	10.0%
7	8	16.0%
8	4	8.0%
9	2	4.0%
10	1	2.0%

Value	Count	Frequency (%)
29	6	12.0%
26	2	4.0%
25	1	2.0%
24	1	2.0%
22	1	2.0%
18	1	2.0%
16	1	2.0%
15	3	6.0%
13	3	6.0%
12	1	2.0%

Pld
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	29
Distinct (%)	58.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	450.64

Minimum	0
Maximum	1114
Zeros	1
Zeros (%)	2.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	0
5-th percentile	39.8
Q1	198
median	310
Q3	599.5
95-th percentile	1114
Maximum	1114
Range	1114
Interquartile range (IQR)	401.5

Descriptive statistics

Standard deviation	355.1616913
Coefficient of variation (CV)	0.7881273106
Kurtosis	-0.6632750507
Mean	450.64
Median Absolute Deviation (MAD)	196
Skewness	0.7998676537
Sum	22532
Variance	126139.8269
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
266	7	14.0%
1114	6	12.0%
76	3	6.0%
494	2	4.0%
38	2	4.0%
190	2	4.0%
198	2	4.0%
304	2	4.0%
316	2	4.0%
354	2	4.0%
Other values (19)	20	40.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	2.0%
38	2	4.0%
42	1	2.0%
76	3	6.0%
84	1	2.0%
114	1	2.0%
152	1	2.0%
190	2	4.0%
198	2	4.0%
202	1	2.0%

Value	Count	Frequency (%)
1114	6	12.0%
1000	1	2.0%
996	1	2.0%
958	1	2.0%
924	1	2.0%
848	1	2.0%
696	1	2.0%
608	1	2.0%
574	2	4.0%
570	1	2.0%

W
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	47
Distinct (%)	94.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	166.88

Minimum	0
Maximum	687
Zeros	1
Zeros (%)	2.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	0
5-th percentile	10
Q1	56.25
median	93.5
Q3	204
95-th percentile	589.8
Maximum	687
Range	687
Interquartile range (IQR)	147.75

Descriptive statistics

Standard deviation	178.384318
Coefficient of variation (CV)	1.068937668
Kurtosis	1.366879455
Mean	166.88
Median Absolute Deviation (MAD)	60.5
Skewness	1.51477529
Sum	8344
Variance	31820.9649
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
597	2	4.0%
10	2	4.0%
99	2	4.0%
57	1	2.0%
81	1	2.0%
73	1	2.0%
75	1	2.0%
79	1	2.0%
76	1	2.0%
68	1	2.0%
Other values (37)	37	74.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	2.0%
5	1	2.0%
10	2	4.0%
12	1	2.0%
14	1	2.0%
17	1	2.0%
22	1	2.0%
32	1	2.0%
36	1	2.0%
41	1	2.0%

Value	Count	Frequency (%)
687	1	2.0%
597	2	4.0%
581	1	2.0%
480	1	2.0%
444	1	2.0%
407	1	2.0%
369	1	2.0%
341	1	2.0%
319	1	2.0%
265	1	2.0%

D
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	46
Distinct (%)	92.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	116.88

Minimum	0
Maximum	314
Zeros	1
Zeros (%)	2.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	0
5-th percentile	10.8
Q1	50.75
median	85.5
Q3	166.5
95-th percentile	278.75
Maximum	314
Range	314
Interquartile range (IQR)	115.75

Descriptive statistics

Standard deviation	90.48748701
Coefficient of variation (CV)	0.7741913673
Kurtosis	-0.6625853051
Mean	116.88
Median Absolute Deviation (MAD)	58
Skewness	0.7347129623
Sum	5844
Variance	8187.985306
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=46)

Value	Count	Frequency (%)
82	2	4.0%
65	2	4.0%
23	2	4.0%
50	2	4.0%
247	1	2.0%
59	1	2.0%
76	1	2.0%
66	1	2.0%
72	1	2.0%
62	1	2.0%
Other values (36)	36	72.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	2.0%
5	1	2.0%
9	1	2.0%
13	1	2.0%
15	1	2.0%
17	1	2.0%
20	1	2.0%
23	2	4.0%
43	1	2.0%
48	1	2.0%

Value	Count	Frequency (%)
314	1	2.0%
290	1	2.0%
281	1	2.0%
276	1	2.0%
274	1	2.0%
273	1	2.0%
254	1	2.0%
247	1	2.0%
245	1	2.0%
228	1	2.0%

L
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	48
Distinct (%)	96.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	166.88

Minimum	0
Maximum	394
Zeros	1
Zeros (%)	2.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	0
5-th percentile	22.45
Q1	92.75
median	135
Q3	239.5
95-th percentile	371.2
Maximum	394
Range	394
Interquartile range (IQR)	146.75

Descriptive statistics

Standard deviation	107.2476897
Coefficient of variation (CV)	0.6426635287
Kurtosis	-0.4770620212
Mean	166.88
Median Absolute Deviation (MAD)	81.5
Skewness	0.5964386299
Sum	8344
Variance	11502.06694
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=48)

Value	Count	Frequency (%)
143	2	4.0%
128	2	4.0%
180	1	2.0%
129	1	2.0%
132	1	2.0%
111	1	2.0%
119	1	2.0%
122	1	2.0%
138	1	2.0%
79	1	2.0%
Other values (38)	38	76.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	2.0%
19	1	2.0%
22	1	2.0%
23	1	2.0%
39	1	2.0%
42	1	2.0%
46	1	2.0%
47	1	2.0%
59	1	2.0%
66	1	2.0%

Value	Count	Frequency (%)
394	1	2.0%
393	1	2.0%
373	1	2.0%
369	1	2.0%
358	1	2.0%
355	1	2.0%
296	1	2.0%
276	1	2.0%
259	1	2.0%
254	1	2.0%

GF
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE
ZEROS

Distinct	50
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	598.34

Minimum	0
Maximum	2128
Zeros	1
Zeros (%)	2.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	0
5-th percentile	48.35
Q1	221.5
median	363
Q3	744.25
95-th percentile	1913.5
Maximum	2128
Range	2128
Interquartile range (IQR)	522.75

Descriptive statistics

Standard deviation	584.1719977
Coefficient of variation (CV)	0.9763211513
Kurtosis	0.6025602136
Mean	598.34
Median Absolute Deviation (MAD)	238
Skewness	1.301206327
Sum	29917
Variance	341256.9229
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2128	1	2.0%
241	1	2.0%
306	1	2.0%
339	1	2.0%
273	1	2.0%
290	1	2.0%
292	1	2.0%
266	1	2.0%
271	1	2.0%
276	1	2.0%
Other values (40)	40	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	2.0%
37	1	2.0%
47	1	2.0%
50	1	2.0%
55	1	2.0%
66	1	2.0%
68	1	2.0%
105	1	2.0%
136	1	2.0%
148	1	2.0%

Value	Count	Frequency (%)
2128	1	2.0%
1956	1	2.0%
1927	1	2.0%
1897	1	2.0%
1676	1	2.0%
1559	1	2.0%
1448	1	2.0%
1333	1	2.0%
1213	1	2.0%
1175	1	2.0%

GA
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE
ZEROS

Distinct	50
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	598.34

Minimum	0
Maximum	1415
Zeros	1
Zeros (%)	2.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	0
5-th percentile	90.1
Q1	314.75
median	462.5
Q3	885.75
95-th percentile	1367.65
Maximum	1415
Range	1415
Interquartile range (IQR)	571

Descriptive statistics

Standard deviation	404.4204526
Coefficient of variation (CV)	0.6759040889
Kurtosis	-0.7417826262
Mean	598.34
Median Absolute Deviation (MAD)	296
Skewness	0.5947204854
Sum	29917
Variance	163555.9024
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1009	1	2.0%
330	1	2.0%
383	1	2.0%
431	1	2.0%
360	1	2.0%
419	1	2.0%
380	1	2.0%
402	1	2.0%
420	1	2.0%
441	1	2.0%
Other values (40)	40	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	2.0%
78	1	2.0%
82	1	2.0%
100	1	2.0%
134	1	2.0%
138	1	2.0%
142	1	2.0%
143	1	2.0%
186	1	2.0%
214	1	2.0%

Value	Count	Frequency (%)
1415	1	2.0%
1398	1	2.0%
1378	1	2.0%
1355	1	2.0%
1299	1	2.0%
1215	1	2.0%
1121	1	2.0%
1100	1	2.0%
1092	1	2.0%
1042	1	2.0%

GD
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	528.0 B

Pts
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	528.0 B

1st
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	57.1%
Missing	43
Missing (%)	86.0%
Memory size	528.0 B

1.0	3
5.0	2
13.0	1
3.0	1

Length

Max length	4
Median length	3
Mean length	3.142857143
Min length	3

Characters and Unicode

Total characters	22
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	28.6%

Sample

1st row	13.0
2nd row	3.0
3rd row	5.0
4th row	1.0
5th row	5.0

Common Values

Value	Count	Frequency (%)
1.0	3	6.0%
5.0	2	4.0%
13.0	1	2.0%
3.0	1	2.0%
(Missing)	43	86.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	3	42.9%
5.0	2	28.6%
13.0	1	14.3%
3.0	1	14.3%

Most occurring characters

Value	Count	Frequency (%)
.	7	31.8%
0	7	31.8%
1	4	18.2%
5	2	9.1%
3	2	9.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	15	68.2%
Other Punctuation	7	31.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	7	46.7%
1	4	26.7%
5	2	13.3%
3	2	13.3%

Other Punctuation

Value	Count	Frequency (%)
.	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	22	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	7	31.8%
0	7	31.8%
1	4	18.2%
5	2	9.1%
3	2	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	7	31.8%
0	7	31.8%
1	4	18.2%
5	2	9.1%
3	2	9.1%

2nd
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	66.7%
Missing	41
Missing (%)	82.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.222222222

Minimum	1
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	3
Q3	4
95-th percentile	6.6
Maximum	7
Range	6
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.223610677
Coefficient of variation (CV)	0.6900860723
Kurtosis	-0.853463668
Mean	3.222222222
Median Absolute Deviation (MAD)	2
Skewness	0.6070845751
Sum	29
Variance	4.944444444
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	3	6.0%
4	2	4.0%
7	1	2.0%
6	1	2.0%
3	1	2.0%
2	1	2.0%
(Missing)	41	82.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3	6.0%
2	1	2.0%
3	1	2.0%
4	2	4.0%
6	1	2.0%
7	1	2.0%

Value	Count	Frequency (%)
7	1	2.0%
6	1	2.0%
4	2	4.0%
3	1	2.0%
2	1	2.0%
1	3	6.0%

3rd
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	50.0%
Missing	40
Missing (%)	80.0%
Memory size	528.0 B

2.0	3
1.0	3
5.0	2
4.0	1
6.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	30
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	20.0%

Sample

1st row	4.0
2nd row	5.0
3rd row	5.0
4th row	6.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	3	6.0%
1.0	3	6.0%
5.0	2	4.0%
4.0	1	2.0%
6.0	1	2.0%
(Missing)	40	80.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2.0	3	30.0%
1.0	3	30.0%
5.0	2	20.0%
4.0	1	10.0%
6.0	1	10.0%

Most occurring characters

Value	Count	Frequency (%)
.	10	33.3%
0	10	33.3%
2	3	10.0%
1	3	10.0%
5	2	6.7%
4	1	3.3%
6	1	3.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	20	66.7%
Other Punctuation	10	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10	50.0%
2	3	15.0%
1	3	15.0%
5	2	10.0%
4	1	5.0%
6	1	5.0%

Other Punctuation

Value	Count	Frequency (%)
.	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	30	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	10	33.3%
0	10	33.3%
2	3	10.0%
1	3	10.0%
5	2	6.7%
4	1	3.3%
6	1	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	30	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	10	33.3%
0	10	33.3%
2	3	10.0%
1	3	10.0%
5	2	6.7%
4	1	3.3%
6	1	3.3%

4th
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	45.5%
Missing	39
Missing (%)	78.0%
Memory size	528.0 B

1.0	6
7.0	2
4.0	1
3.0	1
2.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	33
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	27.3%

Sample

1st row	1.0
2nd row	7.0
3rd row	4.0
4th row	7.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
1.0	6	12.0%
7.0	2	4.0%
4.0	1	2.0%
3.0	1	2.0%
2.0	1	2.0%
(Missing)	39	78.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	6	54.5%
7.0	2	18.2%
4.0	1	9.1%
3.0	1	9.1%
2.0	1	9.1%

Most occurring characters

Value	Count	Frequency (%)
.	11	33.3%
0	11	33.3%
1	6	18.2%
7	2	6.1%
4	1	3.0%
3	1	3.0%
2	1	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	22	66.7%
Other Punctuation	11	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11	50.0%
1	6	27.3%
7	2	9.1%
4	1	4.5%
3	1	4.5%
2	1	4.5%

Other Punctuation

Value	Count	Frequency (%)
.	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	33	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	11	33.3%
0	11	33.3%
1	6	18.2%
7	2	6.1%
4	1	3.0%
3	1	3.0%
2	1	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	33	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	11	33.3%
0	11	33.3%
1	6	18.2%
7	2	6.1%
4	1	3.0%
3	1	3.0%
2	1	3.0%

5th
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	35.7%
Missing	36
Missing (%)	72.0%
Memory size	528.0 B

1.0	6
2.0	4
3.0	2
5.0	1
4.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	42
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	14.3%

Sample

1st row	1.0
2nd row	3.0
3rd row	2.0
4th row	2.0
5th row	5.0

Common Values

Value	Count	Frequency (%)
1.0	6	12.0%
2.0	4	8.0%
3.0	2	4.0%
5.0	1	2.0%
4.0	1	2.0%
(Missing)	36	72.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	6	42.9%
2.0	4	28.6%
3.0	2	14.3%
5.0	1	7.1%
4.0	1	7.1%

Most occurring characters

Value	Count	Frequency (%)
.	14	33.3%
0	14	33.3%
1	6	14.3%
2	4	9.5%
3	2	4.8%
5	1	2.4%
4	1	2.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	28	66.7%
Other Punctuation	14	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14	50.0%
1	6	21.4%
2	4	14.3%
3	2	7.1%
5	1	3.6%
4	1	3.6%

Other Punctuation

Value	Count	Frequency (%)
.	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	42	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14	33.3%
0	14	33.3%
1	6	14.3%
2	4	9.5%
3	2	4.8%
5	1	2.4%
4	1	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	42	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14	33.3%
0	14	33.3%
1	6	14.3%
2	4	9.5%
3	2	4.8%
5	1	2.4%
4	1	2.4%

6th
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	38.5%
Missing	37
Missing (%)	74.0%
Memory size	528.0 B

1.0	6
3.0	3
2.0	2
4.0	1
6.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	39
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	15.4%

Sample

1st row	2.0
2nd row	1.0
3rd row	4.0
4th row	3.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
1.0	6	12.0%
3.0	3	6.0%
2.0	2	4.0%
4.0	1	2.0%
6.0	1	2.0%
(Missing)	37	74.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	6	46.2%
3.0	3	23.1%
2.0	2	15.4%
4.0	1	7.7%
6.0	1	7.7%

Most occurring characters

Value	Count	Frequency (%)
.	13	33.3%
0	13	33.3%
1	6	15.4%
3	3	7.7%
2	2	5.1%
4	1	2.6%
6	1	2.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	26	66.7%
Other Punctuation	13	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	13	50.0%
1	6	23.1%
3	3	11.5%
2	2	7.7%
4	1	3.8%
6	1	3.8%

Other Punctuation

Value	Count	Frequency (%)
.	13	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	39	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	13	33.3%
0	13	33.3%
1	6	15.4%
3	3	7.7%
2	2	5.1%
4	1	2.6%
6	1	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	39	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	13	33.3%
0	13	33.3%
1	6	15.4%
3	3	7.7%
2	2	5.1%
4	1	2.6%
6	1	2.6%

7th
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	23.5%
Missing	33
Missing (%)	66.0%
Memory size	528.0 B

1.0	9
2.0	5
3.0	2
4.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	51
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	5.9%

Sample

1st row	1.0
2nd row	3.0
3rd row	2.0
4th row	4.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	9	18.0%
2.0	5	10.0%
3.0	2	4.0%
4.0	1	2.0%
(Missing)	33	66.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	9	52.9%
2.0	5	29.4%
3.0	2	11.8%
4.0	1	5.9%

Most occurring characters

Value	Count	Frequency (%)
.	17	33.3%
0	17	33.3%
1	9	17.6%
2	5	9.8%
3	2	3.9%
4	1	2.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	34	66.7%
Other Punctuation	17	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	17	50.0%
1	9	26.5%
2	5	14.7%
3	2	5.9%
4	1	2.9%

Other Punctuation

Value	Count	Frequency (%)
.	17	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	51	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	17	33.3%
0	17	33.3%
1	9	17.6%
2	5	9.8%
3	2	3.9%
4	1	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	51	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	17	33.3%
0	17	33.3%
1	9	17.6%
2	5	9.8%
3	2	3.9%
4	1	2.0%

T4
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	64.3%
Missing	36
Missing (%)	72.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.285714286

Minimum	1
Maximum	25
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1.25
median	4
Q3	16.25
95-th percentile	22.4
Maximum	25
Range	24
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.597213962
Coefficient of variation (CV)	1.037594789
Kurtosis	-0.7813728556
Mean	8.285714286
Median Absolute Deviation (MAD)	3
Skewness	0.9095395819
Sum	116
Variance	73.91208791
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1	4	8.0%
18	2	4.0%
3	2	4.0%
25	1	2.0%
21	1	2.0%
6	1	2.0%
11	1	2.0%
5	1	2.0%
2	1	2.0%
(Missing)	36	72.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	4	8.0%
2	1	2.0%
3	2	4.0%
5	1	2.0%
6	1	2.0%
11	1	2.0%
18	2	4.0%
21	1	2.0%
25	1	2.0%

Value	Count	Frequency (%)
25	1	2.0%
21	1	2.0%
18	2	4.0%
11	1	2.0%
6	1	2.0%
5	1	2.0%
3	2	4.0%
2	1	2.0%
1	4	8.0%

T7
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	15
Distinct (%)	55.6%
Missing	23
Missing (%)	46.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.518518519

Minimum	1
Maximum	29
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	3
Q3	10.5
95-th percentile	25.7
Maximum	29
Range	28
Interquartile range (IQR)	9.5

Descriptive statistics

Standard deviation	8.846426355
Coefficient of variation (CV)	1.176618284
Kurtosis	0.7461617525
Mean	7.518518519
Median Absolute Deviation (MAD)	2
Skewness	1.39325077
Sum	203
Variance	78.25925926
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
1	9	18.0%
2	4	8.0%
3	2	4.0%
29	1	2.0%
25	1	2.0%
24	1	2.0%
26	1	2.0%
15	1	2.0%
12	1	2.0%
11	1	2.0%
Other values (5)	5	10.0%
(Missing)	23	46.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	9	18.0%
2	4	8.0%
3	2	4.0%
4	1	2.0%
7	1	2.0%
8	1	2.0%
9	1	2.0%
10	1	2.0%
11	1	2.0%
12	1	2.0%

Value	Count	Frequency (%)
29	1	2.0%
26	1	2.0%
25	1	2.0%
24	1	2.0%
15	1	2.0%
12	1	2.0%
11	1	2.0%
10	1	2.0%
9	1	2.0%
8	1	2.0%

Debut
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	20
Distinct (%)	40.8%
Missing	1
Missing (%)	2.0%
Memory size	528.0 B

1992–93	22
1993–94	3
1999–2000	2
1996–97	2
2002–03	2
Other values (15)	18

Length

Max length	9
Median length	7
Mean length	7.081632653
Min length	7

Characters and Unicode

Total characters	347
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12 ?
Unique (%)	24.5%

Sample

1st row	1992–93
2nd row	1992–93
3rd row	1992–93
4th row	1992–93
5th row	1992–93

Common Values

Value	Count	Frequency (%)
1992–93	22	44.0%
1993–94	3	6.0%
1999–2000	2	4.0%
1996–97	2	4.0%
2002–03	2	4.0%
2008–09	2	4.0%
2017–18	2	4.0%
2003–04	2	4.0%
1997–98	1	2.0%
2010–11	1	2.0%
Other values (10)	10	20.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1992–93	22	44.9%
1993–94	3	6.1%
1999–2000	2	4.1%
1996–97	2	4.1%
2002–03	2	4.1%
2008–09	2	4.1%
2017–18	2	4.1%
2003–04	2	4.1%
2009–10	1	2.0%
2001–02	1	2.0%
Other values (10)	10	20.4%

Most occurring characters

Value	Count	Frequency (%)
9	103	29.7%
1	49	14.1%
–	49	14.1%
2	44	12.7%
0	43	12.4%
3	30	8.6%
4	7	2.0%
6	6	1.7%
7	6	1.7%
8	6	1.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	298	85.9%
Dash Punctuation	49	14.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
9	103	34.6%
1	49	16.4%
2	44	14.8%
0	43	14.4%
3	30	10.1%
4	7	2.3%
6	6	2.0%
7	6	2.0%
8	6	2.0%
5	4	1.3%

Dash Punctuation

Value	Count	Frequency (%)
–	49	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	347	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
9	103	29.7%
1	49	14.1%
–	49	14.1%
2	44	12.7%
0	43	12.4%
3	30	8.6%
4	7	2.0%
6	6	1.7%
7	6	1.7%
8	6	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	298	85.9%
Punctuation	49	14.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
9	103	34.6%
1	49	16.4%
2	44	14.8%
0	43	14.4%
3	30	10.1%
4	7	2.3%
6	6	2.0%
7	6	2.0%
8	6	2.0%
5	4	1.3%

Punctuation

Value	Count	Frequency (%)
–	49	100.0%

Since/Last App.
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	27
Distinct (%)	55.1%
Missing	1
Missing (%)	2.0%
Memory size	528.0 B

2012–13	4
2017–18	4
2016–17	4
2020–21	4
2018–19	3
Other values (22)	30

Length

Max length	10
Median length	7
Mean length	7.448979592
Min length	7

Characters and Unicode

Total characters	365
Distinct characters	19
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	14 ?
Unique (%)	28.6%

Sample

1st row	1992–93[a]
2nd row	1992–93[b]
3rd row	1992–93[c]
4th row	1992–93[d]
5th row	1992–93[e]

Common Values

Value	Count	Frequency (%)
2012–13	4	8.0%
2017–18	4	8.0%
2016–17	4	8.0%
2020–21	4	8.0%
2018–19	3	6.0%
2019–20	2	4.0%
2010–11	2	4.0%
2011–12	2	4.0%
1993–94	2	4.0%
2014–15	2	4.0%
Other values (17)	20	40.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2012–13	4	8.2%
2016–17	4	8.2%
2020–21	4	8.2%
2017–18	4	8.2%
2018–19	3	6.1%
2000–01	2	4.1%
2021–22	2	4.1%
1999–2000	2	4.1%
2014–15	2	4.1%
1993–94	2	4.1%
Other values (17)	20	40.8%

Most occurring characters

Value	Count	Frequency (%)
1	72	19.7%
2	69	18.9%
0	67	18.4%
–	49	13.4%
9	43	11.8%
3	14	3.8%
7	11	3.0%
8	10	2.7%
[	6	1.6%
]	6	1.6%
Other values (9)	18	4.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	298	81.6%
Dash Punctuation	49	13.4%
Open Punctuation	6	1.6%
Close Punctuation	6	1.6%
Lowercase Letter	6	1.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	72	24.2%
2	69	23.2%
0	67	22.5%
9	43	14.4%
3	14	4.7%
7	11	3.7%
8	10	3.4%
4	5	1.7%
6	5	1.7%
5	2	0.7%

Lowercase Letter

Value	Count	Frequency (%)
a	1	16.7%
b	1	16.7%
f	1	16.7%
e	1	16.7%
d	1	16.7%
c	1	16.7%

Dash Punctuation

Value	Count	Frequency (%)
–	49	100.0%

Open Punctuation

Value	Count	Frequency (%)
[	6	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	359	98.4%
Latin	6	1.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	72	20.1%
2	69	19.2%
0	67	18.7%
–	49	13.6%
9	43	12.0%
3	14	3.9%
7	11	3.1%
8	10	2.8%
[	6	1.7%
]	6	1.7%
Other values (3)	12	3.3%

Latin

Value	Count	Frequency (%)
a	1	16.7%
b	1	16.7%
f	1	16.7%
e	1	16.7%
d	1	16.7%
c	1	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	316	86.6%
Punctuation	49	13.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	72	22.8%
2	69	21.8%
0	67	21.2%
9	43	13.6%
3	14	4.4%
7	11	3.5%
8	10	3.2%
[	6	1.9%
]	6	1.9%
4	5	1.6%
Other values (8)	13	4.1%

Punctuation

Value	Count	Frequency (%)
–	49	100.0%

Relegated
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	11.9%
Missing	8
Missing (%)	16.0%
Memory size	528.0 B

1.0	17
2.0	11
3.0	9
4.0	3
5.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	126
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	1.0
4th row	2.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	17	34.0%
2.0	11	22.0%
3.0	9	18.0%
4.0	3	6.0%
5.0	2	4.0%
(Missing)	8	16.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	17	40.5%
2.0	11	26.2%
3.0	9	21.4%
4.0	3	7.1%
5.0	2	4.8%

Most occurring characters

Value	Count	Frequency (%)
.	42	33.3%
0	42	33.3%
1	17	13.5%
2	11	8.7%
3	9	7.1%
4	3	2.4%
5	2	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	84	66.7%
Other Punctuation	42	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	42	50.0%
1	17	20.2%
2	11	13.1%
3	9	10.7%
4	3	3.6%
5	2	2.4%

Other Punctuation

Value	Count	Frequency (%)
.	42	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	126	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	42	33.3%
0	42	33.3%
1	17	13.5%
2	11	8.7%
3	9	7.1%
4	3	2.4%
5	2	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	126	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	42	33.3%
0	42	33.3%
1	17	13.5%
2	11	8.7%
3	9	7.1%
4	3	2.4%
5	2	1.6%

Best
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	17
Distinct (%)	34.7%
Missing	1
Missing (%)	2.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.897959184

Minimum	1
Maximum	22
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	7
Q3	10
95-th percentile	19
Maximum	22
Range	21
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	5.65407264
Coefficient of variation (CV)	0.7158903342
Kurtosis	-0.06724851007
Mean	7.897959184
Median Absolute Deviation (MAD)	3
Skewness	0.8143237612
Sum	387
Variance	31.96853741
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
1	7	14.0%
7	7	14.0%
8	5	10.0%
9	4	8.0%
6	3	6.0%
3	3	6.0%
5	3	6.0%
2	3	6.0%
19	3	6.0%
10	2	4.0%
Other values (7)	9	18.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	7	14.0%
2	3	6.0%
3	3	6.0%
4	1	2.0%
5	3	6.0%
6	3	6.0%
7	7	14.0%
8	5	10.0%
9	4	8.0%
10	2	4.0%

Value	Count	Frequency (%)
22	1	2.0%
19	3	6.0%
18	1	2.0%
17	1	2.0%
16	2	4.0%
15	1	2.0%
11	2	4.0%
10	2	4.0%
9	4	8.0%
8	5	10.0%

WP
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	46
Distinct (%)	93.9%
Missing	1
Missing (%)	2.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3120153386

Minimum	0.119047619
Maximum	0.6166965889
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	0.119047619
5-th percentile	0.1968421053
Q1	0.2631578947
median	0.2887931034
Q3	0.3329853862
95-th percentile	0.5301615799
Maximum	0.6166965889
Range	0.4976489698
Interquartile range (IQR)	0.06982749148

Descriptive statistics

Standard deviation	0.0956468349
Coefficient of variation (CV)	0.3065452978
Kurtosis	2.219963284
Mean	0.3120153386
Median Absolute Deviation (MAD)	0.02688834154
Skewness	1.269975852
Sum	15.28875159
Variance	0.009148317027
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=46)

Value	Count	Frequency (%)
0.5359066427	2	4.0%
0.2631578947	2	4.0%
0.2368421053	2	4.0%
0.303030303	1	2.0%
0.3082706767	1	2.0%
0.2913669065	1	2.0%
0.2744360902	1	2.0%
0.2819548872	1	2.0%
0.2969924812	1	2.0%
0.2857142857	1	2.0%
Other values (36)	36	72.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.119047619	1	2.0%
0.1578947368	1	2.0%
0.1842105263	1	2.0%
0.2157894737	1	2.0%
0.2236842105	1	2.0%
0.2368421053	2	4.0%
0.2516447368	1	2.0%
0.2518796992	1	2.0%
0.2556390977	1	2.0%
0.2619047619	1	2.0%

Value	Count	Frequency (%)
0.6166965889	1	2.0%
0.5359066427	2	4.0%
0.5215439856	1	2.0%
0.4805194805	1	2.0%
0.4308797127	1	2.0%
0.4090909091	1	2.0%
0.3764367816	1	2.0%
0.3704819277	1	2.0%
0.3653500898	1	2.0%
0.341	1	2.0%

predWP
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	49
Distinct (%)	100.0%
Missing	1
Missing (%)	2.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3965227245

Minimum	0.1222135315
Maximum	0.8164450691
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	0.1222135315
5-th percentile	0.1777386934
Q1	0.3142780426
median	0.3657141125
Q3	0.4490885661
95-th percentile	0.7495255475
Maximum	0.8164450691
Range	0.6942315376
Interquartile range (IQR)	0.1348105236

Descriptive statistics

Standard deviation	0.1545374718
Coefficient of variation (CV)	0.3897316906
Kurtosis	1.165683778
Mean	0.3965227245
Median Absolute Deviation (MAD)	0.05692973098
Skewness	1.044728092
Sum	19.4296135
Variance	0.02388183018
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=49)

Value	Count	Frequency (%)
0.8164450691	1	2.0%
0.3478299926	1	2.0%
0.3896223864	1	2.0%
0.3822011294	1	2.0%
0.3651073586	1	2.0%
0.3238838332	1	2.0%
0.3712553992	1	2.0%
0.3045102427	1	2.0%
0.2939509528	1	2.0%
0.2814484754	1	2.0%
Other values (39)	39	78.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.1222135315	1	2.0%
0.1691585321	1	2.0%
0.1756097561	1	2.0%
0.1809320993	1	2.0%
0.195369275	1	2.0%
0.2389743964	1	2.0%
0.2814484754	1	2.0%
0.2939509528	1	2.0%
0.300608104	1	2.0%
0.3038253256	1	2.0%

Value	Count	Frequency (%)
0.8164450691	1	2.0%
0.7597268909	1	2.0%
0.7511071111	1	2.0%
0.7471532021	1	2.0%
0.6912149182	1	2.0%
0.5897022702	1	2.0%
0.5569568755	1	2.0%
0.5115248398	1	2.0%
0.5109038287	1	2.0%
0.4918160244	1	2.0%

factor
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	49
Distinct (%)	100.0%
Missing	1
Missing (%)	2.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.247598043

Minimum	0.6428024218
Maximum	1.519829634
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	0.6428024218
5-th percentile	0.8952777714
Q1	1.180137475
median	1.271250098
Q3	1.365995341
95-th percentile	1.42660681
Maximum	1.519829634
Range	0.877027212
Interquartile range (IQR)	0.1858578658

Descriptive statistics

Standard deviation	0.1705735311
Coefficient of variation (CV)	0.1367215443
Kurtosis	3.685665777
Mean	1.247598043
Median Absolute Deviation (MAD)	0.09474524258
Skewness	-1.681416962
Sum	61.13230409
Variance	0.0290953295
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=49)

Value	Count	Frequency (%)
1.323900738	1	2.0%
1.180137475	1	2.0%
1.263897009	1	2.0%
1.311752024	1	2.0%
1.330391197	1	2.0%
1.148707995	1	2.0%
1.250049825	1	2.0%
1.06578585	1	2.0%
1.149866962	1	2.0%
1.117392454	1	2.0%
Other values (39)	39	78.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.6428024218	1	2.0%
0.7740190327	1	2.0%
0.7850789096	1	2.0%
1.060576064	1	2.0%
1.06578585	1	2.0%
1.075116043	1	2.0%
1.107442325	1	2.0%
1.117392454	1	2.0%
1.148707995	1	2.0%
1.149866962	1	2.0%

Value	Count	Frequency (%)
1.519829634	1	2.0%
1.438474289	1	2.0%
1.432579462	1	2.0%
1.417647833	1	2.0%
1.405069177	1	2.0%
1.401563353	1	2.0%
1.400095016	1	2.0%
1.390746754	1	2.0%
1.376093387	1	2.0%
1.373634827	1	2.0%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Pos.	Club	Seasons	Pld	W	D	L	GF	GA	GD	Pts	1st	2nd	3rd	4th	5th	6th	7th	T4	T7	Debut	Since/Last App.	Relegated	Best	WP	predWP	factor
0	1	Manchester United	29	1114	687	247	180	2128	1009	1119	2308	13.0	7.0	4.0	1.0	1.0	2.0	1.0	25.0	29.0	1992–93	1992–93[a]	NaN	1.0	0.616697	0.816445	1.323901
1	2	Arsenal	29	1114	597	281	236	1956	1100	856	2072	3.0	6.0	5.0	7.0	3.0	1.0	NaN	21.0	25.0	1992–93	1992–93[b]	NaN	1.0	0.535907	0.759727	1.417648
2	3	Chelsea	29	1114	597	273	244	1897	1092	805	2064	5.0	4.0	5.0	4.0	2.0	4.0	NaN	18.0	24.0	1992–93	1992–93[c]	NaN	1.0	0.535907	0.751107	1.401563
3	4	Liverpool	29	1114	581	274	259	1927	1121	806	2017	1.0	4.0	6.0	7.0	2.0	3.0	3.0	18.0	26.0	1992–93	1992–93[d]	NaN	1.0	0.521544	0.747153	1.432579
4	5	Tottenham Hotspur	29	1114	480	276	358	1676	1398	278	1716	NaN	1.0	2.0	3.0	5.0	2.0	2.0	6.0	15.0	1992–93	1992–93[e]	NaN	2.0	0.430880	0.589702	1.368601
5	6	Manchester City	24	924	444	204	276	1559	1042	517	1536	5.0	3.0	2.0	1.0	1.0	NaN	NaN	11.0	12.0	1992–93	2002–03	2.0	1.0	0.480519	0.691215	1.438474
6	7	Everton	29	1114	407	314	393	1448	1415	33	1535	NaN	NaN	NaN	1.0	3.0	3.0	4.0	1.0	11.0	1992–93	1992–93[f]	NaN	4.0	0.365350	0.511525	1.400095
7	8	Newcastle United	26	996	369	254	373	1333	1355	−22	1361	NaN	2.0	2.0	1.0	2.0	1.0	1.0	5.0	9.0	1993–94	2017–18	2.0	2.0	0.370482	0.491816	1.327503
8	9	Aston Villa	26	1000	341	290	369	1213	1299	−86	1313	NaN	1.0	NaN	1.0	1.0	6.0	1.0	2.0	10.0	1992–93	2019–20	1.0	2.0	0.341000	0.465804	1.365995
9	10	West Ham United	25	958	319	245	394	1175	1378	−203	1202	NaN	NaN	NaN	NaN	1.0	1.0	2.0	NaN	4.0	1993–94	2012–13	2.0	5.0	0.332985	0.420985	1.264276

Last rows

	Pos.	Club	Seasons	Pld	W	D	L	GF	GA	GD	Pts	1st	2nd	3rd	4th	5th	6th	7th	T4	T7	Debut	Since/Last App.	Relegated	Best	WP	predWP	factor
40	41	Brighton & Hove Albion	4	152	36	50	66	148	214	−66	158	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2017–18	2017–18	NaN	15.0	0.236842	0.323545	1.366079
41	42	Reading	3	114	32	23	59	136	186	−50	119	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2006–07	2012–13	2.0	8.0	0.280702	0.348376	1.241091
42	43	Oldham Athletic	2	84	22	23	39	105	142	−37	89	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1992–93	1993–94	1.0	19.0	0.261905	0.353490	1.349689
43	44	Cardiff City	2	76	17	13	46	66	143	−77	64	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2013–14	2018–19	2.0	18.0	0.223684	0.175610	0.785079
44	45	Bradford City	2	76	14	20	42	68	138	−70	62	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1999–2000	2000–01	1.0	17.0	0.184211	0.195369	1.060576
45	46	Huddersfield Town	2	76	12	17	47	50	134	−84	53	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2017–18	2018–19	1.0	16.0	0.157895	0.122214	0.774019
46	47	Blackpool	1	38	10	9	19	55	78	−23	39	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2010–11	2010–11	1.0	19.0	0.263158	0.332089	1.261939
47	48	Barnsley	1	38	10	5	23	37	82	−45	35	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1997–98	1997–98	1.0	19.0	0.263158	0.169159	0.642802
48	49	Swindon Town	1	42	5	15	22	47	100	−53	30	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1993–94	1993–94	1.0	22.0	0.119048	0.180932	1.519830
49	50	Brentford	0	0	0	0	0	0	0	0	0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Other Punctuation

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters